Learn More

For details on what’s happening under the hood and for options to
customize data preparation and model training, see Getting Started with
healthcareai
as well as the helpfiles for individual functions such as
?machine_learn, ?predict.model_list, and ?explore.

Documentation of all functions as well as vignettes on various uses of
the package are available at the package website:
https://docs.healthcare.ai/.

Also, be sure to read our blog and watch
our
broadcasts
to learn more about what’s new in healthcare machine learning and how we
are using this toolkit to put machine learning to work in real
healthcare systems.

Get Involved

We have a Slack community that is a
great place to introduce yourself, share what you’re doing with the
package, ask questions, and troubleshoot your code.

Contributing

If you are interested in contributing the package (great!), please read
the
contributing
guide, and look for issues with the “help wanted”
tag.
Feel free to tackle any issue that interests you; those are a few issues
that we feel would make a good place to start.

Feedback

Your feedback is hugely appreciated. It is makes the package work well
and helps us make it more useful to the community. Both feature requests
and bug reports should be submitted as Github
issues.

Legacy

Version 1 of healthcareai has been retired. You can continue to use
it, but its compatibility with changes in the R ecosystem are not
guaranteed. You should always be able to install it from github with:
install.packages("remotes");
remotes::install_github("HealthCatalyst/healthcareai-r@v1.2.4").